NDLI: Missing motion data recovery using factorial hidden Markov models

Content Provider	IEEE Xplore Digital Library
Author	Dongheui Lee Kulic, D. Nakamura, Y.
Copyright Year	2008
Description	Author affiliation: Dept. of Mechano-Inf., Univ. of Tokyo, Tokyo (Dongheui Lee; Kulic, D.; Nakamura, Y.)
Abstract	This paper proposes a method to recover missing data during observation by factorial hidden Markov models (FHMMs). The fundamental idea of the proposed method originates from the mimesis model, inspired by the mirror neuron system. By combining the motion recognition from partial observation algorithm and the proto-symbol based duplication of observed motion algorithm, whole body motion imitation from partial observation can be achieved. The algorithm for missing data recovery uses the same basic strategy as the whole body motion imitation from partial observation, but requires more accurate spatial representability. FHMMs allow for more efficient representation of a continuous data sequence by distributed state representation compared to hidden Markov models (HMMs). The proposed algorithm is tested with human motion data and the experimental results show improved representability compared to the conventional HMMs.
Starting Page	1722
Ending Page	1728
File Size	254363
Page Count	7
File Format	PDF
ISBN	9781424416462
ISSN	10504729
DOI	10.1109/ROBOT.2008.4543449
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Humans Robotics and automation Mirrors Neurons Automatic programming Humanoid robots Spatiotemporal phenomena USA Councils Testing motion recovery factorial hidden Markov model mimesis
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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